Instructions to use BlueTriangles/SDXL_Virtual_Chihaya_Noriko with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use BlueTriangles/SDXL_Virtual_Chihaya_Noriko with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("OnomaAIResearch/Illustrious-XL-v2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("BlueTriangles/SDXL_Virtual_Chihaya_Noriko") prompt = "\u0000\u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000S\u0000D\u0000X\u0000L\u0000_\u0000V\u0000i\u0000r\u0000t\u0000u\u0000a\u0000l\u0000_\u0000C\u0000h\u0000i\u0000h\u0000a\u0000y\u0000a\u0000_\u0000N\u0000o\u0000r\u0000i\u0000k\u0000o\u0000:\u00000\u0000.\u00007\u0000>\u0000 \u0000(\u0000s\u0000d\u0000x\u0000l\u0000-\u0000v\u0000i\u0000r\u0000t\u0000u\u0000a\u0000l\u0000-\u0000c\u0000h\u0000i\u0000h\u0000a\u0000y\u0000a\u0000-\u0000n\u0000o\u0000r\u0000i\u0000k\u0000o\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000s\u0000h\u0000o\u0000r\u0000t\u0000 \u0000h\u0000a\u0000i\u0000r\u0000,\u0000 \u0000a\u0000s\u0000i\u0000a\u0000n\u0000,\u0000 \u0000b\u0000r\u0000o\u0000w\u0000n\u0000 \u0000e\u0000y\u0000e\u0000s\u0000,\u0000 \u0000e\u0000y\u0000e\u0000l\u0000a\u0000s\u0000h\u0000e\u0000s\u0000,\u0000 \u0000h\u0000a\u0000i\u0000r\u0000 \u0000b\u0000e\u0000h\u0000i\u0000n\u0000d\u0000 \u0000e\u0000a\u0000r\u0000,\u0000 \u0000j\u0000a\u0000p\u0000a\u0000n\u0000e\u0000s\u0000e\u0000 \u0000\\\u0000(\u0000n\u0000a\u0000t\u0000i\u0000o\u0000n\u0000a\u0000l\u0000i\u0000t\u0000y\u0000\\\u0000)\u0000,\u0000 \u0000s\u0000w\u0000e\u0000p\u0000t\u0000 \u0000b\u0000a\u0000n\u0000g\u0000s\u0000)\u0000,\u0000 \u0000(\u0000g\u0000e\u0000n\u0000e\u0000r\u0000a\u0000l\u0000,\u0000 \u00001\u0000g\u0000i\u0000r\u0000l\u0000,\u0000 \u0000a\u0000l\u0000o\u0000n\u0000e\u0000,\u0000 \u0000s\u0000o\u0000l\u0000o\u0000,\u0000 \u0000s\u0000i\u0000n\u0000g\u0000l\u0000e\u0000 \u0000v\u0000e\u0000r\u0000t\u0000i\u0000c\u0000a\u0000l\u0000 \u0000c\u0000o\u0000m\u0000p\u0000o\u0000s\u0000i\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000f\u0000u\u0000l\u0000l\u0000-\u0000h\u0000e\u0000i\u0000g\u0000h\u0000t\u0000 \u0000p\u0000e\u0000r\u0000s\u0000p\u0000e\u0000c\u0000t\u0000i\u0000v\u0000e\u0000,\u0000 \u0000f\u0000i\u0000l\u0000l\u0000i\u0000n\u0000g\u0000 \u0000t\u0000h\u0000e\u0000 \u0000v\u0000e\u0000r\u0000t\u0000i\u0000c\u0000a\u0000l\u0000 \u0000f\u0000r\u0000a\u0000m\u0000e\u0000)\u0000,\u0000 \u0000(\u0000b\u0000u\u0000s\u0000t\u0000 \u0000s\u0000h\u0000o\u0000t\u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000s\u0000i\u0000d\u0000e\u0000,\u0000 \u0000f\u0000r\u0000o\u0000m\u0000 \u0000b\u0000e\u0000l\u0000o\u0000w\u0000:\u00001\u0000.\u00002\u0000)\u0000,\u0000 \u0000(\u0000s\u0000m\u0000i\u0000l\u0000e\u0000,\u0000 \u0000l\u0000o\u0000o\u0000k\u0000i\u0000n\u0000g\u0000 \u0000a\u0000w\u0000a\u0000y\u0000)\u0000,\u0000 \u0000(\u0000(\u0000C\u0000h\u0000e\u0000r\u0000r\u0000y\u0000 \u0000R\u0000e\u0000d\u0000 \u0000s\u0000w\u0000i\u0000m\u0000w\u0000e\u0000a\u0000r\u0000,\u0000 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\u0000n\u0000a\u0000t\u0000u\u0000r\u0000a\u0000l\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000o\u0000n\u0000 \u0000t\u0000h\u0000e\u0000 \u0000b\u0000e\u0000a\u0000c\u0000h\u0000 \u0000a\u0000t\u0000 \u0000G\u0000r\u0000a\u0000n\u0000d\u0000 \u0000A\u0000n\u0000s\u0000e\u0000 \u0000B\u0000e\u0000a\u0000c\u0000h\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000s\u0000k\u0000y\u0000,\u0000 \u0000b\u0000l\u0000u\u0000e\u0000 \u0000o\u0000c\u0000e\u0000a\u0000n\u0000,\u0000 \u0000w\u0000h\u0000i\u0000t\u0000e\u0000 \u0000s\u0000a\u0000n\u0000d\u0000,\u0000 \u0000s\u0000h\u0000i\u0000n\u0000y\u0000 \u0000s\u0000k\u0000i\u0000n\u0000,\u0000 \u0000w\u0000e\u0000t\u0000,\u0000 \u0000s\u0000w\u0000e\u0000a\u0000t\u0000)\u0000,\u0000 \u0000b\u0000e\u0000s\u0000t\u0000 \u0000q\u0000u\u0000a\u0000l\u0000i\u0000t\u0000y\u0000,\u0000 \u0000a\u0000b\u0000s\u0000u\u0000r\u0000d\u0000r\u0000e\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000r\u0000e\u0000s\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000 \u0000r\u0000e\u0000a\u0000l\u0000i\u0000s\u0000t\u0000i\u0000c\u0000,\u0000 \u0000e\u0000x\u0000t\u0000r\u0000e\u0000m\u0000e\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000u\u0000l\u0000t\u0000r\u0000a\u0000f\u0000i\u0000n\u0000e\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000p\u0000r\u0000o\u0000f\u0000e\u0000s\u0000s\u0000i\u0000o\u0000n\u0000a\u0000l\u0000 \u0000p\u0000h\u0000o\u0000t\u0000o\u0000g\u0000r\u0000a\u0000p\u0000h\u0000,\u0000 \u0000v\u0000i\u0000b\u0000r\u0000a\u0000n\u0000t\u0000 \u0000c\u0000o\u0000l\u0000o\u0000r\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000a\u0000e\u0000s\u0000t\u0000h\u0000e\u0000t\u0000i\u0000c\u0000,\u0000 \u0000g\u0000r\u0000e\u0000a\u0000t\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000e\u0000x\u0000t\u0000r\u0000e\u0000m\u0000e\u0000l\u0000y\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000p\u0000e\u0000r\u0000f\u0000e\u0000c\u0000t\u0000 \u0000c\u0000o\u0000m\u0000p\u0000o\u0000s\u0000i\u0000t\u0000i\u0000o\u0000n\u0000,\u0000 \u0000c\u0000a\u0000p\u0000t\u0000i\u0000v\u0000a\u0000t\u0000i\u0000n\u0000g\u0000,\u0000 \u0000f\u0000i\u0000n\u0000e\u0000s\u0000t\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000s\u0000,\u0000 \u0000h\u0000i\u0000g\u0000h\u0000e\u0000s\u0000t\u0000 \u0000a\u0000e\u0000s\u0000t\u0000h\u0000e\u0000t\u0000i\u0000c\u0000s\u0000,\u0000 \u0000s\u0000h\u0000a\u0000r\u0000p\u0000 \u0000f\u0000o\u0000c\u0000u\u0000s\u0000,\u0000 \u0000i\u0000n\u0000t\u0000r\u0000i\u0000c\u0000a\u0000t\u0000e\u0000 \u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000h\u0000y\u0000p\u0000e\u0000r\u0000d\u0000e\u0000t\u0000a\u0000i\u0000l\u0000e\u0000d\u0000,\u0000 \u0000c\u0000o\u0000n\u0000c\u0000e\u0000p\u0000t\u0000 \u0000a\u0000r\u0000t\u0000,\u0000 \u0000d\u0000y\u0000n\u0000a\u0000m\u0000i\u0000c\u0000 \u0000l\u0000i\u0000g\u0000h\u0000t\u0000i\u0000n\u0000g\u0000 \u0000<\u0000l\u0000o\u0000r\u0000a\u0000:\u0000d\u0000m\u0000d\u00002\u0000_\u0000s\u0000d\u0000x\u0000l\u0000_\u00004\u0000s\u0000t\u0000e\u0000p\u0000_\u0000l\u0000o\u0000r\u0000a\u0000:\u00000\u0000.\u00007\u0000>\u0000" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Commit ·
8e2d8b2
verified ·
0
Parent(s):
initial commit
Browse files- .gitattributes +55 -0
- README.md +46 -0
.gitattributes
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README.md
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---
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tags:
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- text-to-image
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- lora
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- diffusers
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- template:diffusion-lora
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widget:
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- output:
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url: images/20260818092649-3338545204.jpg
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|
| 11 |
+
- output:
|
| 12 |
+
url: images/20260818092824-3224237675.jpg
|
| 13 |
+
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|
| 14 |
+
- output:
|
| 15 |
+
url: images/20260818092855-1700510038.jpg
|
| 16 |
+
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+
- output:
|
| 18 |
+
url: images/20260818092909-1700510040.jpg
|
| 19 |
+
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|
| 20 |
+
- output:
|
| 21 |
+
url: images/20260818092938-1564094275.jpg
|
| 22 |
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base_model: OnomaAIResearch/Illustrious-XL-v2.0
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instance_prompt: sdxl-virtual-chihaya-noriko
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license: cc-by-nc-sa-4.0
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---
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# Chihaya Noriko / Virtual Character / 千早典子(ちはや・のりこ)
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<Gallery />
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## Model description
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※ 複数の人物の顔写真から特徴をランダムに組み合わせて合成したキャラクターですが、実在する特定の人物に似てしまっている可能性があります。もし実在する人物と似ている場合は、このモデル・データを非公開にしますので、お手数ですがご指摘ください。
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Trained by 17 images, 20 epochs, 10 repeats for 440 steps.
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Appearance: sdxl-virtual-chihaya-noriko, brown hair, short hair, asian, brown eyes, eyelashes, hair behind ear, japanese \(nationality\), swept bangs
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## Trigger words
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You should use `sdxl-virtual-chihaya-noriko` to trigger the image generation.
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## Download model
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[Download](/BlueTriangles/SDXL_Virtual_Chihaya_Noriko/tree/main) them in the Files & versions tab.
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